{"language":[{"iso":"eng"}],"intvolume":"       128","page":"449–458","date_updated":"2023-01-30T12:07:39Z","title":"Canonical correlation analysis of high-dimensional data with very small sample support","publication":"Signal Process.","date_created":"2023-01-30T11:51:42Z","_id":"40720","status":"public","author":[{"first_name":"Yang","full_name":"Song, Yang","last_name":"Song"},{"full_name":"Schreier, Peter J.","last_name":"Schreier","first_name":"Peter J."},{"first_name":"David","full_name":"Ramírez, David","last_name":"Ramírez"},{"last_name":"Hasija","full_name":"Hasija, Tanuj","first_name":"Tanuj","id":"43497"}],"year":"2016","user_id":"43497","volume":128,"type":"journal_article","citation":{"ama":"Song Y, Schreier PJ, Ramírez D, Hasija T. Canonical correlation analysis of high-dimensional data with very small sample support. <i>Signal Process</i>. 2016;128:449–458.","bibtex":"@article{Song_Schreier_Ramírez_Hasija_2016, title={Canonical correlation analysis of high-dimensional data with very small sample support}, volume={128}, journal={Signal Process.}, author={Song, Yang and Schreier, Peter J. and Ramírez, David and Hasija, Tanuj}, year={2016}, pages={449–458} }","ieee":"Y. Song, P. J. Schreier, D. Ramírez, and T. Hasija, “Canonical correlation analysis of high-dimensional data with very small sample support,” <i>Signal Process.</i>, vol. 128, pp. 449–458, 2016.","short":"Y. Song, P.J. Schreier, D. Ramírez, T. Hasija, Signal Process. 128 (2016) 449–458.","apa":"Song, Y., Schreier, P. J., Ramírez, D., &#38; Hasija, T. (2016). Canonical correlation analysis of high-dimensional data with very small sample support. <i>Signal Process.</i>, <i>128</i>, 449–458.","mla":"Song, Yang, et al. “Canonical Correlation Analysis of High-Dimensional Data with Very Small Sample Support.” <i>Signal Process.</i>, vol. 128, 2016, pp. 449–458.","chicago":"Song, Yang, Peter J. Schreier, David Ramírez, and Tanuj Hasija. “Canonical Correlation Analysis of High-Dimensional Data with Very Small Sample Support.” <i>Signal Process.</i> 128 (2016): 449–458."},"department":[{"_id":"263"}]}